Context: SQL injection attack (SQLIA) poses a serious defense threat to web applications by allowing attackers to gain unhindered access to the underlying databases containing potentially sensitive information. A lot of methods and techniques have been proposed by different researchers and practitioners to mitigate SQL injection problem. However, deploying those methods and techniques without a clear understanding can induce a false sense of security. Classification of such techniques would provide a great assistance to get rid of such false sense of security. Objectives: This paper is focused on classification of such techniques by building taxonomy of SQL injection defense techniques. Methods: Systematic literature review (SLR) is conducted using five reputed and familiar e-databases; IEEE, ACM, Engineering Village (Inspec/Compendex), ISI web of science and Scopus. Results: 61 defense techniques are found and based on these techniques, a taxonomy of SQL injection defense techniques is built. Our taxonomy consists of various dimensions which can be grouped under two higher order terms; detection method and evaluation criteria. Conclusion: The taxonomy provides a basis for comparison among different defense techniques. Organization(s) can use our taxonomy to choose suitable owns depending on their available resources and environments. Moreover, this classification can lead towards a number of future research directions in the field of SQL injection. / 0760880470, 0700183408
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:bth-3076 |
Date | January 2011 |
Creators | Aryal, Dhiraj, Shakya, Anup |
Publisher | Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation |
Source Sets | DiVA Archive at Upsalla University |
Language | English |
Detected Language | English |
Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
Format | application/pdf |
Rights | info:eu-repo/semantics/openAccess |
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